Web Survey Bibliography
Relevance & Research Question: This paper discusses the design for an advanced, multi-country, web-based occupational survey and coding tool for ISCO-08. This includes the coding of open text questions as well as the use of closed format questions using look-up tables with text string matching or search trees.
Methods & Data: For an auto-coder applying machine learning algorithms a large volume, multilingual training set is required. This database falls apart into two components, one with individual level data, consisting of merged and harmonized survey data from as many surveys as available, including the raw text data. The second is an occupation level database and consists of coding indexes, occupation databases of, job titles and job descriptions.
Results: The explorative review of the possibilities to build such a survey and coding tool is positive. Autocoders have been applied in Germany and the USA (see Bethmann et al 2014; Cheeseman 2014). Web surveys have been using look-up databases for self-identification of occupations (Tijdens 2014). Some survey holders have already expressed their willingness to put their raw text plus codes at the disposal of the project. Multilingual occupational databases are available, and job titles and job descriptions will be collected from job boards. The project aims to cover 35 languages in 99 countries.
Added Value: A web-based survey and coding tool for so many countries and languages is currently not available. In addition the tool will be used for coding of industries in NACE2.0, educationand fields of education in ISCED_2011, and aims to apply social stratification indicators. This paper builds on work done on behalf of a proposal for such a tool, submitted for funding to the European Union’s Horizon2020 program. If funded, this tool will meet the demand of survey holders for cross-country harmonized, fast, high-quality and cost-effective surveying and coding of occupations.
Web survey bibliography - Tijdens, K. G. (18)
- Self-identification of occupation in web surveys: requirements for search trees and look-up tables ; 2015; Tijdens, K. G.
- Identifying and correcting question-wording problems: the case of Wageindicator; 2015; Slavec, A., Vehovar, V., Tijdens, K. G.
- WEBDATANET: Innovation and Quality in Web-Based Data Collection ; 2014; Steinmetz, S., Slavec, A., Tijdens, K. G., Reips, U.-D., de Pedraza, P., Popescu, A., Belchior, A., ...,...
- Improving web survey quality; 2014; Steinmetz, S., Bianchi, S. M., Tijdens, K. G., Biffignandi, S.
- Targeting the bias – the impact of mass media attention on sample composition and representativeness...; 2014; Steinmetz, S., Oez, F., Tijdens, K. G.
- Exploring selection biases for developing countries - is the web a promising tool for data collection...; 2014; Tijdens, K. G., Steinmetz, S.
- Measuring the very long, fuzzy tail in the occupational distribution in web-surveys; 2014; Tijdens, K. G.
- Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey; 2014; Tijdens, K. G.
- WEBDATANET: A Network on Web-based Data Collection, Methodological Challenges, Solutions, and Implementation...; 2014; Tijdens, K. G., Steinmetz, S., de Pedraza, P., Serrano, F.
- Challenges and pitfalls of measuring wages via web surveys - some explorations; 2012; Steinmetz, S., Bianchi, A., Tijdens, K., Biffignandi, S.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Hrh remuneration: Comparing wage levels, ranking And dispersion of 16 occupations In the health workforce...; 2011; Tijdens, K., de Vries, D.
- Wages worldwide results and measurement issues from the multi-country. WageIndicator web-survey ; 2011; van Klaveren, M., Tijdens, K.
- Text string matching to measure occupations in web-surveys; 2011; Tijdens, K. G.
- Codebook and explanatory note on the WageIndicator dataset ; 2010; Tijdens, K., van Zijl, S., Hughie-Williams, M., van Klaveren, M., Steinmetz, S.
- Potentials and Constraints of Propensity Score Weighting to Improve Web Survey Quality; 2010; Steinmetz, S., Tijdens, K.
- Presentation of WEBSURVNET; 2009; de Pedraza, P., Steinmetz, S., Tijdens, K.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.